Analysis of Fixture Efficiency and Behavioral Factors of Indoor Residential Water Use of Single-Family Households

This repository contains datasets, code, and modeling results supporting the paper \"Analysis of Fixture Efficiency and Behavioral Factors of Indoor Residential Water Use of Single-Family Households.\" The data includes city shapefiles, weather data, and aggregated city-level behavioral and fixture efficiency factors. The repository also includes detailed statistical test results examining differences in household attributes across clusters, and results of mixed effects linear regression models examining the relationships between water use patterns, user behavior and fixture efficiency factors, and a host of house and household attributes. The repository provides R scripts implementing mixed effects and generalized estimating equation models, along with Python Jupyter Notebooks for data processing, clustering, statistical testing, and visualization. This resource enables researchers to explore factors differentiating high and low water-using households, the relative importance of fixture efficiency versus behavior, and the effects of household size and weather variations on residential water consumption patterns across more than 33,000 households throughout the US.